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software engineer iii

machine learning engineer

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Machine Learning Engineer, you&rsquo;ll be a technical leader helping architect, scale, and harden SAP&rsquo;s next generation of generative AI services. You&rsquo;ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows&mdash;turning foundational model research into secure, production-ready enterprise solutions.
 
 
 <ul>
 <li>
 Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
 </li>
 <li>
 Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
 </li>
 <li>
 Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP&rsquo;s GenAI Hub and third-party providers (e.g., Amazon Bedrock).
 </li>
 <li>
 Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
 </li>
 <li>
 Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
 </li>
 <li>
 Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
 </li>
 <li>
 Stay at the forefront of ML/AI trends and bring best practices into the team&rsquo;s architecture and execution.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
 </li>
 <li>
 Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
 </li>
 <li>
 Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
 </li>
 <li>
 Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
 </li>
 <li>
 Proven track record of delivering production AI systems at scale.
 </li>
 <li>
 Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
 </li>
 <li>
 Experience mentoring engineers and shaping engineering culture
 
 
 </li>
 </ul>
 
 Meet The Team
 
 
 
 The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research &amp; Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP&rsquo;s Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows
 
 
 At SAP, senior engineers have the chance to define architecture and strategy for some of the world&rsquo;s most impactful enterprise AI services. You&rsquo;ll shape how businesses plan, build, and visualize with AI&mdash;while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP&rsquo;s AI innovations scale securely, reliably, and responsibly
 
 
 #sapaiapp
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 434895 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Machine Learning Engineer

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
 <li>
 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
 <li>
 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
 <li>
 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
 </li>
 <li>
 Produce reusable code according to standard methodologies in Python, Scala or Java
 </li>
 <li>
 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
 </li>
 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
 <ul>
 <li>
 SQL, Data Analysis , Gaming Industry knowledge
 </li>
 </ul>
</div>

ML Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Kaplan

<div>
 
 
 Job Description
 
 
 
 For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.
 
 
 Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students&rsquo; lives.
 
 
 The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.
 
 
 As a Data Scientist at Kaplan, you will play a pivotal role in driving data-informed decisions and developing cutting-edge solutions that enhance our educational products and services. You will leverage your expertise in machine learning, statistical modeling, and data analysis to extract meaningful insights from complex educational datasets. You will collaborate with product managers, engineers, and educators to identify opportunities for innovation and develop data-driven solutions that directly impact student learning and teacher effectiveness.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Develop and deploy advanced machine learning models:
 
 Design, implement, and evaluate machine learning models for tasks such as personalized learning recommendations, student performance prediction, content optimization, and educational resource analysis.
 </li>
 <li>
 Hands on experience in preparation of
 
 evaluation datasets
 
 and defining
 
 evaluation metrics
 
 for model training experiments.
 </li>
 <li>
 
 Conduct in-depth data analysis:
 
 Explore and analyze large datasets from various sources (e.g., student learning platforms, assessment data, user behavior logs) to identify trends, patterns, and insights that inform product development and educational strategies.
 </li>
 <li>
 
 Design and execute experiments:
 
 Develop and implement A/B testing and other experimental designs to evaluate the effectiveness of educational interventions and product features.
 </li>
 <li>
 
 Communicate insights and recommendations:
 
 Effectively communicate complex data insights and recommendations to both technical and non-technical audiences through visualizations, presentations, and reports.
 </li>
 <li>
 
 Collaborate with cross-functional teams:
 
 Work closely with product managers, engineers, educators, and researchers to define project goals, develop data-driven solutions, and ensure successful implementation.
 </li>
 <li>
 
 Stay up-to-date with the latest advancements:
 
 Continuously research and evaluate new machine learning techniques, tools, and best practices relevant to the education technology domain.
 </li>
 <li>
 
 Contribute to the development of data infrastructure:
 
 Work with data engineers to ensure data quality, accessibility, and scalability.
 </li>
 <li>
 Work on building products and features that use Generative AI
 </li>
 <li>
 Hybrid Schedule: 3 days remote / 2 days in office
 </li>
 </ul>
 
 
 
 
 
 
 Minimum Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 3+ years of experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs ( ChatGPT, Gemini, Llama, Claude) etc.
 </li>
 <li>
 Strong Proficiency in Transformer Architecture, Multimodality, RAG Pipelines and Prompt Engineering.
 </li>
 <li>
 Experience with statistical modeling, data mining, and machine learning algorithms.
 </li>
 <li>
 Experience in SQL and working with relational databases.
 </li>
 <li>
 Experience working with cloud platforms (e.g., AWS, GCP, Azure).
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear and concise language.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Experience with MLOps workflow with tools such as Weights and Biases, MLFLow etc
 </li>
 <li>
 Experience in integrating model monitoring in production
 </li>
 <li>
 Passion for education and a desire to make a positive impact on student learning.
 </li>
 <li>
 Experience with educational data and learning analytics is a plus.
 </li>
 <li>
 Experience with Natural Language Processing and CNN Models is a plus.
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Publications in peer-reviewed journals or conferences related to machine learning or education technology.
 </li>
 <li>
 Experience working with large-scale educational datasets.
 </li>
 <li>
 Experience with recommender systems.
 </li>
 <li>
 Experience with time series analysis.
 </li>
 </ul>
 
 
</div>

Data Scientist

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

HiLabs

<div>
 
 
 The HiLabs Story
 
 
 
 
 HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.
 
 
 
 
 HiLabs Team
 
 
 
 
 <ul>
 <li>
 Multidisciplinary industry leaders
 </li>
 <li>
 Healthcare domain experts
 </li>
 <li>
 AI/ML and data science experts
 </li>
 <li>
 Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).
 
 
 </li>
 </ul>
 As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
 </li>
 <li>
 Deploy and optimize machine learning solutions on massive datasets using big data technologies.
 </li>
 <li>
 Develop and prototype AI algorithms and software tools.
 </li>
 <li>
 Implement enhancements to existing algorithmic/deep learning solutions.
 </li>
 <li>
 Conduct quantitative data analysis using a variety of datasets.
 </li>
 <li>
 Increase the efficiency and improve the quality of solutions offered.
 </li>
 <li>
 Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.
 </li>
 <li>
 Leverage recent advances in machine learning technologies and oversee the team&rsquo;s training.
 </li>
 <li>
 For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
 
 
 </li>
 </ul>
 Desired Profile:.
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree/Master&rsquo;s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
 </li>
 <li>
 Hands-on Software Development Skills (Scala-Preferred).
 </li>
 <li>
 Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
 </li>
 <li>
 Knowledge of statistical techniques, linear algebra, numerical optimization.
 </li>
 <li>
 Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
 </li>
 <li>
 Know all the general best practices of Machine Learning.
 </li>
 <li>
 Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.
 </li>
 <li>
 Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
 </li>
 <li>
 Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
 </li>
 <li>
 Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
 </li>
 <li>
 Strong analytical, inferential, critical thinking, and creative problem-solving skills.
 </li>
 <li>
 Self-starter with ability to work both independently and with a team.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
 </li>
 <li>
 Experience with interpretability of deep learning models.
 </li>
 <li>
 Big Data Skills (Hadoop, Spark, recent deep learning platforms).
 </li>
 <li>
 Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
 </li>
 <li>
 Expert software development skills including developing and maintaining production quality code
 
 
 </li>
 </ul>
 
 
 HiLabs Total Rewards
 
 
 
 
 Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs &amp; a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.
 
 
 CCPA disclosure notice - https://www.hilabs.com/privacy
</div>

Explore 256+ Machine learning engineer in Mangaluru India this November. Find roles across top companies and apply now to boost your career.

256 machine learning engineer jobs IN Mangaluru India

Machine Learning Engineer

ML Engineer

Data Scientist Engineer

AI Engineer

Data Scientist

Data Scientist

Data Scientist