Sr AI Scientist, Bengaluru |
Job Description
Introduction
Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.
Your Roles and Responsibilities
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Requirements:
- 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
- Strong problem-solving ability
- Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
- Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
- Experience of GPU/DSP/other Multi-core architecture programming
- Effective communication with other project members and project stakeholders
- Detail-oriented, eager to learn, acquire new skills
- Prior Project Management and Team Leadership experience
- Ability to plan work and meet deadlines
About Synapsica Technologies Pvt Ltd
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You will be part of a team helping chart our AI strategy and define the problems we are solving with AI. You will help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them as a product into production. This role is nonremote, for the Advanced AI Engineering team within the Software AI team.
What We Expect
We are looking for passionate, curious and entrepreneurial AI scientists to upskill our internal workforce and advance our AI research program. We are building collaborations with some of the top software architects in the US and India, and we want to disseminate the latest AI research across. You will be working with a fuming, dynamic and diverse team across individuals with complementary skill sets.
- A bachelor/Master's degree in IT, computer science, or an advanced related field is preferred.
- Should have 4+ years in formulating and strategizing AI solutions.
- Knowledge of basic algorithms, object-oriented and functional design principles, and apt practice patterns.
- Extensive knowledge and user friendly in multiple virtual agents alongside SAS being predominant
- Superlative analytical skills and commendable interpretation of data.
- Flexibility in shifts is appreciated.
An AI Developer’s Ideal Day At WWS
Innovative inculcation. Evangelize AI internally/externally to the company to build the AI recognizable brand and also to provide expertise to teams prototyping AI systems and powering our concept with AI. Produce new intellectual property to advance our technological edge over others.
Deployment and Implementation. Advise our C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI. To work on functional design, process design (scenario design, flow mapping), prototyping, testing, training, and defining support procedures, with an advanced engineering team and executive leadership.
Repetitive Research. Manage and direct Research and Development (R&D) and processes to meet the needs of our AI strategy. Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefits. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
What You Can Expect
- Full-time, salaried positions creamed with welfare programs.
- Competitive salary and tailored training in the core space with recognition potential and annual bonus.
- Periodic performance appraisals.
- Attendance Incentives.
- Working with the best and budding talent in the industry.
- A conducive intangible environment with dynamic benefits.
Why Consider an AI Research Developer Career With WWS?
With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications. We also value the pain points in which AI engineers can be more precise in their career compassion.
Having a closed pole vision, this is not only a research role. An AI engineer excels exclusively in engineering and computer science and builds machines and software programs that can learn and analyze for themselves. AI specialists use AI principles to direct steadfastness and increase the ability of technical and human resources, execute alternative management/transformation processes, etc. Emerging technologies, like ML and NLP, determine business obstacles and deliver comprehensive insights with accuracy.
Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.
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Responsibilities
- Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
- Optimize and debug existing codes to make them scalable and improve performance
- Design, development, and delivery of tested code and machine learning models into production environments
- Work effectively in teams, managing and leading teams
- Provide effective, constructive feedback to the delivery leader
- Manage client expectations and work with an agile mindset with machine learning and AI technology
- Design and prototype data-driven solutions
Eligibility
- Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
- Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
- In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
- Expertise in writing scalable APIs for machine learning models
- Experience with maintaining code logs, task schedulers, and security
- Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
- Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch
Responsibilities:
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
- Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
- Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
- Data science models testing, validation, and test automation.
- Communicate with a team of data scientists, data engineers, and architects, and document the processes.
Eligibility:
- Rich hands-on experience in writing object-oriented code using python
- Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
- Understanding of Data Structures, Data Systems, and software architecture
- Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )
- Architecting end-to-end prediction pipelines and managing them
- Scoping projects and mentoring 2-4 people
- Owning parts of the AI and data infrastructure of the organization
- Develop state-of-the-art deep learning/classical models
- Continuously learn new skills and technologies and implement them when relevant
- Contribute to the community through open-source, blogs, etc.
- Take a number of high-quality decisions about infrastructure, pipelines, and internal tooling.
What are we looking for
- Deep understanding of core concepts
- Broader knowledge of different types of problem statements and approaches
- Great hold on Python and the standard library
- Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
- Experience with at least one among Computer Vision, Forecasting, NLP, or Recommendation
Systems a must
- A get shit done attitude
- A research mindset and a creative caliber to utilize previous work to your advantage.
- A helping/mentoring first approach towards work
Job Responsibilities:-
- Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
- Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
- Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
- Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
- Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
- Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
- Experience working with big data systems and big data concepts.
- Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
- Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
- Experience with noisy and/or unstructured textual data.
knowledge graph and NLP including summarization, topic modelling etc
- Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
- Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
- Strong understanding of text pre-processing and normalization techniques, such as tokenization,
- POS tagging and parsing and how they work at a low level.
- Excellent problem solving skills.
- Strong verbal and written communication skills
- Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
- Practical experience in using NLP related techniques and algorithms
- Experience in open source coding and communities desirable.
Able to containerize Models and associated modules and work in a Microservices environment
- BE Computer Science, MCA or equivalent
- Javascript AI library experience - there are many!
- A team player who can collaborate with engineers, designers, and other cross-functional
teams
- Ability to initiate and drive projects to completion with minimal guidance
- Fluent in and passionate about JavaScript
- Troubleshooting/debugging experience
- Strong communication skills
Experience:
- Min 1 year experience
- Not more than 7 year experience.
- Startup experience is a must.
Location ● Remotely, anywhere in India
Timings:- 40 hours a week but with 4 hours a day overlapping with client timezone. Typically clients are in California PST Timezone.
Position:- Full time/Direct
Other Benefits
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12
PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other
incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here
because you love the company. We have only a 15 days notice period.
MTX Group Inc. is seeking a motivated Technical Lead - AI to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Extensive research and development of new AI/ML techniques that enables learning
the semantics of data (images, video, text, audio, speech, etc)
- Improving the existing ML and DNN models and products through R&D on cutting edge technologies
- Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system
- Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms
- Create POCs to quickly test a new model architecture and create improvement over an existing methodology
- Introduce major innovations that can result in better product features and develop strategies and plans required to drive these
- Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices
What you will bring:
- 4-6 years of Experience
- Experience in neural networks, graphical models, reinforcement learning, and natural language processing
- Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc
- In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI
- Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
- Ability to perform research that is justified and guided by business opportunities
- Demonstrated successful implementation if industry grade AI solutions in the past
- Ability to lead a team of AI engineers in an agile development environment
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
Required skill
- Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
- Extensive experience in designing large scale machine learning solution for the ML use case, large scale deployments and establishing continues automated improvement / retraining framework.
- Strong experience in Python and Java is required.
- Hands on experience on Scikit-learn, Pandas, NLTK
- Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
- Experience in Regression, Clustering, classification algorithms
- Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
- Experience in AutoML like TPOT or other
- Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch
- Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
- Understanding of Financial domain is desirable skill
Responsibilities
- Design and implementation of solutions for ML Use cases
- Productionize System and Maintain those
- Lead and implement data acquisition process for ML work
- Learn new methods and model quickly and utilize those in solving use cases