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Salary: INR 15 to INR 30 lakhs per annum
Performance Bonus: Up to 10% of the base salary can be added
Location: Bangalore or Pune
Experience: 2-5 years
About AbleCredit:
AbleCredit is on a mission to solve the Credit Gap of emerging economies. In India alone, the Credit Gap is over USD 5T (Trillion!). This is the single largest contributor to poverty, poor genie index and lack of opportunities. Our Vision is to deploy AI reliably, and safely to solve some of the greatest problems of humanity.
Job Description:
This role is ideal for someone with a strong foundation in deep learning and hands-on experience with AI technologies.
- You will be tasked with solving complex, real-world problems using advanced machine learning models in a privacy-sensitive domain, where your contributions will have a direct impact on business-critical processes.
- As a Machine Learning Engineer at AbleCredit, you will collaborate closely with the founding team, who bring decades of industry expertise to the table.
- You’ll work on deploying cutting-edge Generative AI solutions at scale, ensuring they align with strict privacy requirements and optimize business outcomes.
This is an opportunity for experienced engineers to bring creative AI solutions to one of the most challenging and evolving sectors, while making a significant difference to the company’s growth and success.
Requirements:
- Experience: 2-4 years of hands-on experience in applying machine learning and deep learning techniques to solve complex business problems.
- Technical Skills: Proficiency in standard ML tools and languages, including:
- Python: Strong coding ability for building, training, and deploying machine learning models.
- PyTorch (or MLX or Jax): Solid experience in one or more deep learning frameworks for developing and fine-tuning models.
- Shell scripting: Familiarity with Unix/Linux shell scripting for automation and system-level tasks.
- Mathematical Foundation: Good understanding of the mathematical principles behind machine learning and deep learning (linear algebra, calculus, probability, optimization).
- Problem Solving: A passion for solving tough, ambiguous problems using AI, especially in data-sensitive, large-scale environments.
- Privacy & Security: Awareness and understanding of working in privacy-sensitive domains, adhering to best practices in data security and compliance.
- Collaboration: Ability to work closely with cross-functional teams, including engineers, product managers, and business stakeholders, and communicate technical ideas effectively.
- Work Experience: This position is for experienced candidates only.
Additional Information:
- Location: Pune or Bangalore
- Work Environment: Collaborative and entrepreneurial, with close interactions with the founders.
- Growth Opportunities: Exposure to large-scale AI systems, GenAI, and working in a data-driven privacy-sensitive domain.
- Compensation: Competitive salary and ESOPs, based on experience and performance
- Industry Impact: You’ll be at the forefront of applying Generative AI to solve high-impact problems in the finance/credit space, helping shape the future of AI in the business world.
Who are we looking for?
We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.
Job Summary
- Supporting company mission by understanding complex business problems through data-driven solutions.
- Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ...
- Developing end-to-end ML production-ready solutions and visualizations.
- Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards.
- Communicating complex technical concepts and findings to non-technical stakeholders of the projects
- Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms.
- Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings.
- Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models.
Qualification and experience
- B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields.
- 5+ years of professional experience in the field of machine learning, and data science.
- Experience with large-scale Time-series data-based production code development is a plus.
Skills and competencies
- Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must.
- Ability to work on multiple projects. Must have strong design and implementation skills.
- Ability to conduct research based on complex business problems.
- Strong presentation skills and the ability to collaborate in a multi-disciplinary team.
- Must have programming experience in Python.
- Excellent English communication skills, both written and verbal.
Benefits and Perks
- Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you.
- Progressive leave policy for effective work-life balance.
- Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.
- Multicultural peer groups and supportive workplace policies.
- Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work.
Hiring Process
- Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements.
- First Round: Technical round 1 to gauge your domain knowledge and functional expertise.
- Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
- Final HR Round: Culture fit round and compensation discussions.
- Offer: Congratulations you made it!
If this position sparked your interest, apply now to initiate the screening process.
About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure
Location: Ahmedabad / Pune
Team: Technology
Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.
PRIMARY RESPONSIBILITIES:
● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.
KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.
EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.