The Job logo

What

Where

Advanced Data Scientist

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Join our team as an Advanced AI Engineer and contribute to implementing state-of-the-art Generative AI, Machine Learning, and AI Cognitive Services to drive digital transformation, operational efficiency, and business growth. Collaborate with multi-functional teams to define project requirements and optimize AI models. Stay up to date with the latest advancements in deep learning techniques and integrate them into products and services. Proficiency in Python, ML libraries, and cloud platforms is required.

You will be part of the IT Information Management & Analytics team and in this role, you will at the forefront of implementing state-of-the-art Generative AI, Machine Learning and AI Cognitive Services enhanced business use cases. This Advanced AI Engineer role will work with the business stakeholders, IT business partners, functional consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate digital transformation and drive operational efficiency as well as business growth. You will focus primarily on the full cycle delivery of AI/ML use cases from requirements/design to release, driving the evolution of AI/ML infrastructure/process, and enabling Intelligent Apps & Automation, next generation of AI Copilots/Assistants, etc.

 

KEY RESPONSIBILITIES

·      Collaborating with multi-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

·      Conducting research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and find opportunities to integrate them into our products and services.

·      Optimizing existing generative AI models for improved performance, scalability, and efficiency.

·      Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks.

·      Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyper-parameters, ensuring task generalization, and exploring model interpretability for robust web app integration.

·      Collaborate with ML and Integration engineers to demonstrate LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.

·      Be a proactive partner to your business stakeholders and provide insights.

·      Tackle business-critical questions by developing and testing hypotheses, and aid evidence-based decision making.

·      Partner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps.

YOU MUST HAVE

·        BTech/Master’s in engineering/Technology or MSc with 4-6 years of relevant experience or PhD with 3+ years’ experience.

·        Problem solver at heart with experience in Machine learning, Data Science and Statistics.

·        Proficiency with Python, PySpark, BigQuery, SQL

·        Proficiency with ML libraries Sklearn, Pytorch ,Tensorflow, Spark MLlib 

·       Cloud friendliness (AWS /Azure) to leverage distributed computing/scalability.

·       Experience in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, Reinforcement learning, Graph Neural networks, OpenCV

PREFERRED

·       Proficient in Python and have experience working with machine learning and NLP processing techniques and tools.

·       Worked on Vector DB and SQL databases: MongoDB, PostgreSQL, SQL Server

·       Solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

·       Proficient in Langchain, LLMs

·       Strong knowledge of data structures, algorithms, and software engineering principles.

·       Tools you may use include Azure services such as Azure Machine Learning and Azure prompt flow, as well as python, Langchain, Streamlit, docker, git, and elastic search.

Additional Information
  • JOB ID: HRD207942
  • Category: Engineering
  • Location: Lot 115 (P),Nanakramguda Village,,Serilinganpally Madndal, RR District,Hyderabad,TELANGANA STATE,500019,India
Set alert for similar jobsAdvanced Data Scientist role in Hyderabad, India
Honeywell Logo

Company

Honeywell

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 Years

Category

Engineering

Locations

Hyderabad, Telangana, India

Qualification

Bachelor

Applicants

Be an early applicant

Related Jobs

ExxonMobil Logo

Advanced Data Scientist

ExxonMobil

Bengaluru, Karnataka, India

Posted: a year ago

What role you will play in our team We are seeking an advanced data scientist at the Bangalore Technology Center (BTC) who can provide technical expertise, strategic and cross-functional leadership to generate maximum business value from data science by working with computational and data scientists as well as business domain experts across engineering, geoscience, and commercial domains.  You will be able to scope new opportunities, develop, and deploy data-driven models, automate workflows, and generate insights that lead to significant business value for ExxonMobil's multiple value chains.  Opportunity scope ranges from accurately predicting subsurface properties using machine learning; predicting failure of machinery using historical data, and using advanced analytics to increase revenue from commercial sale of fuels and lubricants.  You will have access to massive data sets, immense compute power and challenging, previously unsolved problems in the oil and gas domain What you will do Be a part of a growing organization comprising computational, data scientists and optimization experts working to solve challenging business problems by developing and applying state-of-the-art machine learning techniques. Partner with domain experts across the corporation to identify, scope, and develop machine learning solutions and provide insights to our business partners to reduce costs and/or increase revenue. Primary scope of application will be in the engineering domain, which will require you understand the underlying physical processes that generate the data, for example solid or fluid mechanics. Communicate recommendations and solutions from data science applications to business partners and influence and drive business uptake of the proposed solutions Help screen and prioritize ideas based on technical feasibility and value maximization Advise senior business line management on challenges and opportunities in the data science space in the various domains; identify and champion new opportunities Provide technical leadership, consulting, and mentorship to early-career engineers, computational and data scientists Work with software and data architecture experts to understand and influence architectural decisions to drive effective development of data-driven solutions for the business About You Skills and Qualifications Master's or PhD from a recognized university in engineering, mathematical sciences, physics or related quantitative discipline with GPA 7.0 (out of 10.0) and above 10+ years of experience in developing and building data science solutions to solve business problems in an engineering or related field In-depth knowledge and practical experience in applying statistical analysis techniques, such as classification, regression, time-series, Bayesian techniques, etc. and machine learning techniques, such as decision-trees, ensemble methods, neural networks, validation methods etc. Experience in developing, applying, and analyzing physics-based and/or data driven computational models and simulations is an advantage Practical experience in the full machine learning life cycle from problem formulation, data acquisition, modeling building, and deployment at enterprise scale. Experience in Python & R and related packages such as numpy, pandas, sklearn, Keras, Tensorflow, PyTorch Experience with software engineering practices, agile methodologies, DevOps, version control  Demonstrated experience of identifying and scoping data science opportunities based on business needs Demonstrated leadership experience in influencing business partners on uptake of data science solutions and facilitating change management Strong communication and interpersonal skills Ability to deal with business and technical uncertainty Demonstrated experience mentoring early career data scientists  Preferred Qualifications / Experience Prior experience leading data science teams is an advantage Experience with optimization techniques, such as linear and nonlinear programming or experience with commercial solvers such as CPLEX is an advantage Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:    Competitive compensation  Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits  Retirement benefits  Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility   Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

PepsiCo Logo

Architect,Data Scientist

PepsiCo

Hyderabad, Telangana, India

Posted: a year ago

Overview This role will lead technical development within Artificial Intelligence/Machine Learning for PBNA Advanced Analytics. This will include design, implement, and maintain digital solutions for PBNA sector. The role is responsible for:   Set up and manage our AI development and facilitate production infrastructure. Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help product managers and stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep current of latest AI research relevant to PBNA business domain. Responsibilities Technical subject matter expert for Advanced Analytics and digital solution (AI, ML, Advanced Analytics, NLP)Develop proof-of-concept demos in a SAFe Agile teamIdentify transfer learning opportunities and new training datasets.Build and deploy AI models for PBNAAssess new capabilities within AI/ML, shape business demand to leverage digital capabilities Qualifications Bachelor’s/Masters/ Phd degree in Computer Science, MIS, Business Management, or related field required15+ years proven experience in programming and development projects.  Hands-on experience with software development and system administration At least 10-12 years hands-on programming experience working on enterprise products. Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.  Experience building AI models in platforms such as Keras, TensorFlow, or Theano. Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects. Excellent driveAbility to work in ambiguous situations.  Problem-solving aptitude. Strong communication skills Understand sometimes ambiguous, needs, and translate to clear, aligned requirements Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Positive attitude.  Participate in ideation and solutioning discussions, driving clarity of complex issues/requirements to build robust solutions