50+ Data Science Jobs in India

1. Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
2. Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
3. Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
4. Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
5. Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
6. Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.

Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.

We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.

Job Title: Data Science Intern

Location: 6th Sector HSR Layout, Bangalore - Work from Office 5.5 Days

Duration: 3 Months | Stipend: Upto ₹12,000 per month 

Post-Internship Offer (PPO): Available based on performance

🧑‍💻 About the Role

We are looking for a passionate and proactive Data Science Intern who is equally excited about mentoring learners and gaining hands-on experience with real-world data operations.

This is a 50% technical + 50% mentorship role that blends classroom support with practical data work. Ideal for those looking to build a career in EdTech and Applied Data Science.

🚀 What You'll Do

Technical Responsibilities (50%)

• Create and manage dashboards using Python or BI tools like Power BI/Tableau
• Write and optimize SQL queries to extract and analyze backend data
• Support in data gathering, cleaning, and basic analysis
• Contribute to building data pipelines to assist internal decision-making and analytics

🚀Mentorship & Support (50%)

• Assist instructors during live Data Science sessions
• Solve doubts related to Python, Machine Learning, and Statistics
• Create and review quizzes, assignments, and other content
• Provide one-on-one academic support and mentoring
• Foster a positive and interactive learning environment

✅ Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
• Strong knowledge of: Python (Data Structures, Functions, OOP, Debugging) Pandas, NumPy, Matplotlib Machine Learning algorithms (scikit-learn) SQL and basic data wrangling APIs, Web Scraping, and Time-Series basics
• Advanced Excel: Lookup & reference (VLOOKUP, INDEX+MATCH, XLOOKUP, SUMIF), Logical functions (IF, AND, OR), Statistical & Aggregate Functions: (COUNTIFS, STDEV, PERCENTILE), Text cleanup (TRIM, SUBSTITUTE), Time functions (DATEDIF, NETWORKDAYS), Pivot Tables, Power Query, Conditional Formatting, Data Validation, What-If Analysis, and dynamic dashboards using charts & slicers.
• Excellent communication and interpersonal skills
• Prior mentoring, teaching, or tutoring experience is a big plus
• Passion for helping others learn and grow

Job Title: Data Science Intern

Location: 6th Sector HSR Layout, Bangalore - Work from Office 5.5 Days

Duration: 3 Months | Stipend: Upto ₹12,000 per month 

Post-Internship Offer (PPO): Available based on performance

🧑‍💻 About the Role

We are looking for a passionate and proactive Data Science Assistant Intern who is equally excited about mentoring learners and gaining hands-on experience with real-world data operations.

This is a 50% technical + 50% mentorship role that blends classroom support with practical data work. Ideal for those looking to build a career in EdTech and Applied Data Science.

🚀 What You'll Do

• Technical Responsibilities (50%)Create and manage dashboards using Python or BI tools like Power BI/Tableau
• Write and optimize SQL queries to extract and analyze backend data
• Support in data gathering, cleaning, and basic analysis
• Contribute to building data pipelines to assist internal decision-making and analytics
• 
  

🚀Mentorship & Support (50%)

• Assist instructors during live Data Science sessions
• Solve doubts related to Python, Machine Learning, and Statistics
• Create and review quizzes, assignments, and other content
• Provide one-on-one academic support and mentoring
• Foster a positive and interactive learning environment

✅ Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
• Strong knowledge of:
• Python (Data Structures, Functions, OOP, Debugging)
• Pandas, NumPy, Matplotlib
• Machine Learning algorithms (scikit-learn)
• SQL and basic data wrangling
• APIs, Web Scraping, and Time-Series basics
• Advanced Excel: Lookup & reference (VLOOKUP, INDEX+MATCH, XLOOKUP), Logical functions (IF, AND, OR), Statistical & Aggregate Functions: (COUNTIFS, STDEV, PERCENTILE), Text cleanup (TRIM, SUBSTITUTE), Time functions (DATEDIF, NETWORKDAYS), Pivot Tables, Power Query, Conditional Formatting, Data Validation, What-If Analysis, and dynamic dashboards using charts & slicers.
• Excellent communication and interpersonal skills
• Prior mentoring, teaching, or tutoring experience is a big plus
• Passion for helping others learn and grow

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Position – Python Developer

Location – Navi Mumbai

Who are we

Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics-based diagnostic solution for Tuberculosis was recognized as one of the top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022.

Objectives of this Role:

• Design and implement efficient, scalable backend services using Python.
• Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions.
• Build APIs, services, and scripts to support data processing pipelines and front-end applications.
• Automate recurring tasks and ensure robust integration with cloud services.
• Maintain high standards of software quality and performance using clean coding principles and testing practices.
• Collaborate within the team to upskill and unblock each other for faster and better outcomes.

Primary Skills – Python Development

• Proficient in Python 3 and its ecosystem
• Frameworks: Flask / Django / FastAPI
• RESTful API development
• Understanding of OOPs and SOLID design principles
• Asynchronous programming (asyncio, aiohttp)
• Experience with task queues (Celery, RQ)
• Rust programming experience for systems-level or performance-critical components

Testing & Automation

• Unit Testing: PyTest / unittest
• Automation tools: Ansible / Terraform (good to have)
• CI/CD pipelines

DevOps & Cloud

• Docker, Kubernetes (basic knowledge expected)
• Cloud platforms: AWS / Azure / GCP
• GIT and GitOps workflows
• Familiarity with containerized deployment & serverless architecture

Bonus Skills

• Data handling libraries: Pandas / NumPy
• Experience with scripting: Bash / PowerShell
• Functional programming concepts
• Familiarity with front-end integration (REST API usage, JSON handling)

 Other Skills

• Innovation and thought leadership
• Interest in learning new tools, languages, workflows
• Strong communication and collaboration skills
• Basic understanding of UI/UX principles

To know more about us – https://haystackanalytics.in

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Job Location: Hyderabad, India.

Roles and Responsibilities:

• The Sr .NET Data Engineer will be responsible for designing and developing scalable backend systems using .NET Core, Web API, and Azure-based data engineering tools like Databricks, MS Fabric, or Snowflake.
• They will build and maintain data pipelines, optimize SQL/NoSQL databases, and ensure high-performance systems through design patterns and microservices architecture.
• Strong communication skills and the ability to collaborate with US counterparts in an Agile environment are essential. Experience with Azure DevOps, Angular, and MongoDB is a plus.

Technical skills:

• Strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture. · At least one-year hands-on experience on .NET Core, ASP.NET Core, Web API, SQL, No SQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
• Net back-end development with data engineering expertise.
• Must have experience with Azure Data Engineering, Azure Databricks, MS Fabric as data platform/ Snowflake or similar tools.
• Skill for writing reusable libraries.
• Excellent Communication skills both oral & written.
• Excellent troubleshooting and communication skills, ability to communicate clearly with US counter parts

What we need?

• Educational Qualification: B.Tech, B.E, MCA, M.Tech.
• Experience: Minimum 6+ Years.
• Work Mode: Must be willing to work from the office (onsite only).

Nice to Have:

• Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/ Release configuration.
• Self – Starter with solid analytical and problem- solving skills.
• This is an experienced level position, and we train the qualified candidate in the required applications.
• Willingness to work extra hours to meet deliverables.

Job description

Job Title: AI-Driven Data Science Automation Intern – Machine Learning Research Specialist

Location: Remote (Global)

Compensation: $50 USD per month

Company: Meta2 Labs

www.meta2labs.com

About Meta2 Labs:

Meta2 Labs is a next-gen innovation studio building products, platforms, and experiences at the convergence of AI, Web3, and immersive technologies. We are a lean, mission-driven collective of creators, engineers, designers, and futurists working to shape the internet of tomorrow. We believe the next wave of value will come from decentralized, intelligent, and user-owned digital ecosystems—and we’re building toward that vision.

As we scale our roadmap and ecosystem, we're looking for a driven, aligned, and entrepreneurial AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join us on this journey.

The Opportunity:

We’re seeking a part-time AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join Meta2 Labs at a critical early stage. This is a high-impact role designed for someone who shares our vision and wants to actively shape the future of tech. You’ll be an equal voice at the table and help drive the direction of our ventures, partnerships, and product strategies.

Responsibilities:

• Collaborate on the vision, strategy, and execution across Meta2 Labs' portfolio and initiatives.
• Drive innovation in areas such as AI applications, Web3 infrastructure, and experiential product design.
• Contribute to go-to-market strategies, business development, and partnership opportunities.
• Help shape company culture, structure, and team expansion.
• Be a thought partner and problem-solver in all key strategic discussions.
• Lead or support verticals based on your domain expertise (e.g., product, technology, growth, design, etc.).
• Act as a representative and evangelist for Meta2 Labs in public or partner-facing contexts.

Ideal Profile:

• Passion for emerging technologies (AI, Web3, XR, etc.).
• Comfortable operating in ambiguity and working lean.
• Strong strategic thinking, communication, and collaboration skills.
• Open to wearing multiple hats and learning as you build.
• Driven by purpose and eager to gain experience in a cutting-edge tech environment.

Commitment:

• Flexible, part-time involvement.
• Remote-first and async-friendly culture.

Why Join Meta2 Labs:

• Join a purpose-led studio at the frontier of tech innovation.
• Help build impactful ventures with real-world value and long-term potential.
• Shape your own role, focus, and future within a decentralized, founder-friendly structure.
• Be part of a collaborative, intellectually curious, and builder-centric culture.

Job Types: Part-time, Internship

Pay: $50 USD per month

Work Location: Remote

Job Types: Full-time, Part-time, Internship

Contract length: 3 months

Pay: Up to ₹5,000.00 per month

Benefits:

• Flexible schedule
• Health insurance
• Work from home

Work Location: Remote

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon Sector - 48

Working Days : 6 Days WFO (Monday to Saturday)

Job Summary :

We are looking for a skilled Python Django Developer with strong foundational knowledge in backend development, data structures, and operating system concepts.

The ideal candidate should have experience in Django and PostgreSQL, along with excellent logical thinking and multithreading knowledge.

Main Technical Skills : Python, Django (or Flask), PostgreSQL/MySQL, SQL & NoSQL ORM, Microservice Architecture, Third-party API integrations (e.g., payment gateways, SMS/email APIs), REST API development, JSON/XML, strong knowledge of data structures, multithreading, and OS concepts.

Key Responsibilities :

• Write efficient, reusable, testable, and scalable code using the Django framework
• Develop backend components, server-side logic, and statistical models
• Design and implement high-availability, low-latency applications with robust data protection and security
• Contribute to the development of highly responsive web applications
• Collaborate with cross-functional teams on system design and integration

Mandatory Skills :

• Strong programming skills in Python and Django (or similar frameworks like Flask).
• Proficiency with PostgreSQL / MySQL and experience in writing complex queries.
• Strong understanding of SQL and NoSQL ORM.
• Solid grasp of data structures, multithreading, and operating system concepts.
• Experience with RESTful API development and implementation of API security.
• Knowledge of JSON/XML and their use in data exchange.

Good-to-Have Skills :

• Experience with Redis, MQTT, and message queues like RabbitMQ or Kafka.
• Understanding of microservice architecture and third-party API integrations (e.g., payment gateways, SMS/email APIs).
• Familiarity with MongoDB and other NoSQL databases.
• Exposure to data science libraries such as Pandas, NumPy, Scikit-learn.
• Knowledge in building and integrating statistical learning models.

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon

Working Days : 6 Days (Monday to Saturday)

Job Summary :

We are looking for a skilled Python Django Developer with strong foundational knowledge in backend development, data structures, and operating system concepts.

The ideal candidate should have experience in Django and PostgreSQL, along with excellent logical thinking and multithreading knowledge.

Technical Skills : Python, Django (or Flask), PostgreSQL/MySQL, SQL & NoSQL ORM, REST API development, JSON/XML, strong knowledge of data structures, multithreading, and OS concepts.

Key Responsibilities :

• Write efficient, reusable, testable, and scalable code using the Django framework.
• Develop backend components, server-side logic, and statistical models.
• Design and implement high-availability, low-latency applications with robust data protection and security.
• Contribute to the development of highly responsive web applications.
• Collaborate with cross-functional teams on system design and integration.

Mandatory Skills :

• Strong programming skills in Python and Django (or similar frameworks like Flask).
• Proficiency with PostgreSQL / MySQL and experience in writing complex queries.
• Strong understanding of SQL and NoSQL ORM.
• Solid grasp of data structures, multithreading, and operating system concepts.
• Experience with RESTful API development and implementation of API security.
• Knowledge of JSON/XML and their use in data exchange.

Good-to-Have Skills :

• Experience with Redis, MQTT, and message queues like RabbitMQ or Kafka
• Understanding of microservice architecture and third-party API integrations (e.g., payment gateways, SMS/email APIs)
• Familiarity with MongoDB and other NoSQL databases
• Exposure to data science libraries such as Pandas, NumPy, Scikit-learn
• Knowledge in building and integrating statistical learning models.

Head of the Department

AI and Data Science

12 to 15 years of Experience

Salary negotiable for immediate Joiners

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We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Analyze and process large datasets using Python and Pandas.

Develop and optimize machine learning models for predictive analytics.

Create data visualizations using Matplotlib and Seaborn to support decision-making.

Perform data cleaning, feature engineering, and statistical analysis.

Work with structured and unstructured data to extract meaningful insights.

Implement and fine-tune NER models for specific use cases (if required).

Collaborate with cross-functional teams to drive data-driven solutions.

Required Skills & Qualifications:

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning.

Hands-on expertise in data visualization using Matplotlib and Seaborn.

Understanding of SQL and database querying.

Familiarity with NLP techniques and NER models is a plus.

Strong problem-solving and analytical skills.

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

own end to end ML pipelines in genAI and, deep learning and classical ML pertaining to scientific domains

Roles & Responsibilities:  

We are looking for a Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.  

We are looking for a Lead Data Scientist who will be responsible for  

• Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture  
• Design or enhance ML workflows for data ingestion, model design, model inference and scoring 3. Oversight on team project execution and delivery  
• Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies  
• Visualize and publish model performance results and insights to internal and external audiences  

Qualifications:  

• Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)  
• Minimum of 9+ years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
• Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)  
• Proficiency in Python and SQL required; PySpark/Spark experience a plus  
• Ability to conduct a productive peer review and proper code structure in Github
• Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)  
• Working knowledge of modern CI/CD methods  

This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. 

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

Data Collection and Preprocessing:

• Gather and clean data from various sources (e.g., databases, APIs, web scraping).
• Perform data validation and ensure data quality.
• Transform and prepare data for analysis and modeling.

Data Analysis and Modeling:

• Conduct exploratory data analysis (EDA) to identify patterns and trends.
• Develop and implement machine learning models (e.g., regression, classification, clustering).
• Evaluate model performance and optimize for accuracy and efficiency.
• Apply statistical techniques and algorithms to solve business problems.

Data Visualization and Reporting:

• Create compelling visualizations to communicate insights to stakeholders.
• Develop dashboards and reports to track key performance indicators (KPIs).
• Present findings to technical and non-technical audiences.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

Note: We are looking for immediate joiners with 6+ years of experience.

Job Description

UnicornisAI is seeking a Senior Data Scientist with expertise in chatbot development using Retrieval-Augmented Generation (RAG) and OpenAI. This role is ideal for someone with a strong background in machine learning, natural language processing (NLP), and AI model deployment. If you are passionate about developing cutting-edge AI-driven solutions, we’d love to have you on our team.

Key Responsibilities

- Design and develop AI-powered chatbots using Retrieval-Augmented Generation (RAG), OpenAI models (GPT-4, etc.), and vector databases

- Build and fine-tune large language models (LLMs) to improve chatbot performance

- Implement document retrieval and knowledge management systems for chatbot responses

- Optimize NLP pipelines and model performance using state-of-the-art techniques

- Work with structured and unstructured data to enhance chatbot intelligence

- Deploy and maintain AI models in cloud environments such as AWS, Azure, or GCP

- Collaborate with engineering teams to integrate AI solutions into products

- Stay updated with the latest advancements in AI, NLP, and RAG-based architectures

Required Skills & Qualifications

- 6+ years of experience in data science, AI, or a related field

- Strong knowledge of RAG, OpenAI APIs (GPT-4, GPT-3.5, etc.), LLM fine-tuning, and embeddings

- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks

- Experience with vector databases such as FAISS, Pinecone, or Weaviate

- Expertise in NLP techniques such as Named Entity Recognition (NER), text summarization, and semantic search

- Hands-on experience in building and deploying AI models in production

- Knowledge of cloud platforms like AWS Sagemaker, Azure AI, or Google Vertex AI

- Strong problem-solving and analytical skills

Nice-to-Have Skills

- Experience with MLOps tools for model monitoring and retraining

- Understanding of prompt engineering and LLM chaining techniques

- Exposure to LangChain or similar frameworks for RAG-based chatbots

Location & Work Mode

- Open to remote or hybrid work, based on location

Interested candidates can email their resumes to Sachin at unicornisai.com

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

• Data Scientist with 4+ yrs of experience
• Good working experience in Computer vision and ML engineering
• Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
• Should be developing APIs
• Proficiency in Python, SQL
• Should have Azure knowledge
• Basic knowledge of NLP
• Analytical thinking and problem-solving abilities
• Excellent communication, Strong collaboration skills
• Should be able to work independently
• Attention to detail and commitment to high-quality results
• Adaptability to fast-paced, dynamic environments

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

AI Product Manager

About Us:

At Formi, we’re not just riding the wave of innovation—we’re the ones creating it. Our AI-powered solutions are revolutionizing how businesses operate, pushing boundaries, and opening up new realms of possibility. We’re building the future of intelligent operations, and whether you join us or not, we’re going to change the game. But with you on board? We’ll do it faster.

About the Role:

We’re looking for a Product Manager who’s not afraid to take risks, who questions everything, and who can transform bold, crazy ideas into products that reshape entire industries. You won’t just manage; you’ll build, you’ll innovate, and you’ll lead. The best ideas? They come from people who think differently. If that’s you, let’s get started.

Your Mission (If You’re Ready for It):

We’re not hiring you for the usual. This is not a role for anyone looking to play it safe. We need someone who’s ready to challenge the status quo and make radical changes. You’ll be building the future with us, so expect to be pushed—and to push back. We’re not here to settle for less.

Key Responsibilities:

• Vision and Strategy: Forget business as usual. Your job is to craft strategies that disrupt markets and create competitive advantages that others can only dream of.
• Cross-Functional Leadership: You’ll lead from the front, working closely with engineering, sales, and marketing to turn ideas into reality. From concept to launch, you’re the one guiding the ship.
• Customer-Centric Innovation: Don’t just listen to customers—understand them at a deeper level. Then use that understanding to create products that make people say, “Why didn’t anyone think of this sooner?”
• End-to-End Ownership: You own it all. From the first spark of an idea to delivering a product that changes the game.
• Data-Driven Decision Making: We don’t guess here. Use data, trends, and insights to make decisions that propel our products forward. Let the numbers tell the story.
• Stakeholder Communication: Communicate like a visionary. Show the people around you the path forward and how it all ties together.
• Continuous Innovation: Complacency is the enemy. Keep pushing the envelope, iterating, and improving so we stay miles ahead of the competition.

Who Should Apply?

• You’re not just a thinker, you’re a doer. You thrive in fast-paced, innovative environments where the status quo is meant to be broken.
• You’ve got at least 2+ years of experience in product management, preferably in tech or SaaS, and you’ve led teams to deliver products that actually make an impact.
• You’re data-obsessed. Your decisions are backed by analytics, and you know how to measure success.
• You’re not just a communicator; you’re an inspirer. You can articulate a vision so clearly, people can’t help but rally behind it.

This Role is NOT for You If:

• You’re just looking for another job.
• You think “good enough” is, well, good enough.
• You’d rather play it safe than take bold, calculated risks.

Why Join Us?

• Impact: You’ll be part of a company that’s literally changing how businesses operate. Your work will have a direct impact on the future of creating a surplus economy.
• Growth: We’re scaling fast, and with that comes insane opportunities for personal and professional development.
• Culture: We move fast, we break things (intelligently), and we value big ideas. We’re building something massive, and you’ll be a key part of it.

Are you ready to disrupt entire industries and make a dent in the universe?

Apply now and let’s build the future together.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

About the Company :

Nextgen Ai Technologies is at the forefront of innovation in artificial intelligence, specializing in developing cutting-edge AI solutions that transform industries. We are committed to pushing the boundaries of AI technology to solve complex challenges and drive business success.

Currently offering "Data Science Internship" for 2 months.

Data Science Projects details In which Intern’s Will Work :

Project 01 : Image Caption Generator Project in Python

Project 02 : Credit Card Fraud Detection Project

Project 03 : Movie Recommendation System

Project 04 : Customer Segmentation

Project 05 : Brain Tumor Detection with Data Science

Eligibility

A PC or Laptop with decent internet speed.

Good understanding of English language.

Any Graduate with a desire to become a web developer. Freshers are welcomed.

Knowledge of HTML, CSS and JavaScript is a plus but NOT mandatory.

Fresher are welcomed. You will get proper training also, so don't hesitate to apply if you don't have any coding background.

#please note that THIS IS AN INTERNSHIP , NOT A JOB.

We recruit permanent employees from inside our interns only (if needed).

Duration : 02 Months 

MODE: Work From Home (Online)

Responsibilities

Manage reports and sales leads in salesforce.com, CRM.

Develop content, manage design, and user access to SharePoint sites for customers and employees.

Build data driven reports, store procedures, query optimization using SQL and PL/SQL knowledge.

Learned the essentials to C++ and Java to refine code and build the exterior layer of web pages.

Configure and load xml data for the BVT tests.

Set up a GitHub page.

Develop spark scripts by using Scala shell as per requirements.

Develop and A/B test improvements to business survey questions on iOS.

Deploy statistical models to various company data streams using Linux shells.

Create monthly performance-base client billing reports using MySQL and NoSQL databases.

Utilize Hadoop and MapReduce to generate dynamic queries and extract data from HDFS.

Create source code utilizing JavaScript and PHP language to make web pages functional.

Excellent problem-solving skills and the ability to work independently or as part of a team.

Effective communication skills to convey complex technical concepts.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

We are working on AI for medical images. We need someone who can run pre trained models and also train new ones

In this position, you will play a pivotal role in collaborating with our CFO, CTO, and our dedicated technical team to craft and develop cutting-edge AI-based products.

Role and Responsibilities:

- Develop and maintain Python-based software applications.

- Design and work with databases using SQL.

- Use Django, Streamlit, and front-end frameworks like Node.js and Svelte for web development.

- Create interactive data visualizations with charting libraries.

- Collaborate on scalable architecture and experimental tech. - Work with AI/ML frameworks and data analytics.

- Utilize Git, DevOps basics, and JIRA for project management. Skills and Qualifications:

- Strong Python programming

skills.

- Proficiency in OOP and SQL.

- Experience with Django, Streamlit, Node.js, and Svelte.

- Familiarity with charting libraries.

- Knowledge of AI/ML frameworks.

- Basic Git and DevOps understanding.

- Effective communication and teamwork.

Company details: We are a team of Enterprise Transformation Experts who deliver radically transforming products, solutions, and consultation services to businesses of any size. Our exceptional team of diverse and passionate individuals is united by a common mission to democratize the transformative power of AI.

Website: Blue Hex Software – AI | CRM | CXM & DATA ANALYTICS

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

About the company: https://www.hectar.in/

Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.

Job Overview: 

We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.

Responsibilities:

• Lead and manage a team of engineers, including hiring, training, and mentoring
• Design and implement the technical architecture of the cross-border trading platform
• Ensure the platform is scalable, efficient, and secure
• Oversee the development of data models and machine learning algorithms
• Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
• Work with stakeholders to identify business requirements and translate them into technical solutions
• Develop and maintain technical documentation, including system specifications, design documents, and user manuals
• Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science
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Requirements:

• Bachelor's or Master's degree in Computer Science or related field
• 10+ years of experience in software engineering, with a focus on web applications and machine learning
• Proven track record of leading and managing a team of engineers
• Expertise in software architecture and design patterns
• Experience with data modeling and machine learning techniques
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience working in an agile development environment
• Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
• Familiarity with modern web frameworks, such as React or Angular

Preferred qualifications:

• Experience with cloud computing platforms, such as AWS or Azure
• Familiarity with data visualization tools, such as D3.js or Tableau
• Experience with containerization and orchestration tools, such as Docker and Kubernetes
• Understanding of financial markets and trading platforms

If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
• Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
•  

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams