
Software Engineering Manager
at My Client is a global product company & into Mobile Payments
What you’ll do
- Responsible for providing technical guidance and direction for your team
- Responsible for technical improvements and new feature execution from inception to post launch support
- Mentoring, coaching and grow your team
- Maintaining high morale and motivating teams to go above and beyond
- Participate in cross functional coordination, planning, and reviews with other technical leaders within and outside of Engineering
- Maintaining and fostering our culture by hiring the most qualified candidate
- Continuously held your teams to higher standards. Advocate for technical excellence and helping the teams make good decisions
- Lead process improvement initiatives to improve Engineering as a whole
About You
- Hands-on technical leader
- Self-starter – You require little to no supervision
- Growth-minded – You are curious and enthusiastic to expand your skills
- Ownership– Your team is your business. You are confident, driven, self-motivated and quickly take ownership of your work.
- Multiplier – You are passionate about growing your team and building new leaders
- People Management – You care about your engineers and their career progression. You want to ensure they have the right tools to do their job
- Desire for impact - You are willing to take on more responsibilities as opportunities arise
Requirements:
- BS/MS in Computer Science or Computer Engineering or relevant work experience in lieu of a degree
- 8+ years of experience working in Software Engineering field with 2+ years’ experience line managing, coaching and mentoring Software Engineers
- Fluent in Java and hands on experience with building service-oriented, database driven applications
- Strong background in software design and architecture
- Exceptional experience in building high performing teams
- Experienced setting up processes to improve productivity
- Experience with establishing technical strategy and roadmap, setting measurable goals and metrics for teams

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Business Development is a critical aspect of our platform business.
1. Actively seeking out new sales opportunities through cold calling, networking and social media. 2. Calling 65-70 leads everyday
3. Setting up meetings with potential clients (parents)
4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes
5. Negotiate/close deals and handle complaints or objections
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Mission Statement
1. In your training of 1st month, we shall actively probe you through the process using Training Decks, Live Experiences, Re-Training Programs that aims to give you an overall Learning experience along with you paid stipend along the journey.
2. We create career oritented BDCs in this 1 month whose skill becomes unmatched across the sector.
3. You are required to use right sales strategy and accomplish 1 Lac of revenue in the training period, hence making a way to achieve License to Sell (L-2-S)
4. You will be entitled for training stipend of Rs.21428 fixed + incentives 5. Post 1L Revenue achievement, you will be entitled for below CTC
India Shift (10:30am to 8:30 pm) - INR 6.6 LPA (4.23 LPA Fixed + 2.4 LPA Variable) US/ Canada Shift (8:00 pm to 5:00 am) - INR 7.10 LPA (4.83 Fixed + 2.3 LPA Variable)
What are we looking for?
1. Proficiency in English
2. Thorough understanding of marketing and negotiating techniques 3. Fast learner and passion for sales
4. Self-motivated with a results-driven approach
5. Proven experience in sale or relevant role is a plus
6. A friendly and energetic personality with customer service focus
Criteria
1. Willing to work 5 days in a week in a fast paced startup 2. Ready to work from Office and join immediately.
3. Week-off on Wednesday, Thursday or Thursday, Friday



● .NET Experience - Min. 5 yrs
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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
Are you a Finance enthusiast and can handle daily finance processes with ease? Here is a role where you will work with a trendy brand and grow with the brand.
Our client is the most sought after traditional Indian outfit manufacturing and exporting company. Their contemporary and stylishly designed clothes are full of unique patterns, matchless embroidery, gorgeous mirror-work and beautiful block prints.
Almost a decade old, it is a venture committed to bring together a varied range of traditional crafts and techniques of dyeing, weaving, printing and hand embroidery. The founders have dedicated their life to promote Indian Block Prints and provide employment and Hand-Embroidery training to women so that numerous underprivileged women can be empowered.As the Accounts Executive, you will manage all the accounting duties including completing multiple ledger reconciliations, journal entry preparation, and participating in financial month-end closures.
- Having knowledge of time office and payroll processing.
- Managing payroll accounting & its controlling.
- Handling reconciliation of primary and secondary sales stock and preparation of data for GST return (GSTR-1 & 3B)
- Handling GST audit, TDS filling return and payment/refund processing.
- Coordinating with all the internal departments.
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- Maintaining accounting and book keeping.
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What you need to have:
- Having a B.Com degree is a must.
- Good understanding and experience in FMCG sector, especially e-commerce in handling finance.
- Must have good working knowledge of excel.
- Familiarity with finance and accounting regulations/processes.
- Good communication and interpersonal skills.
Experience: 6 to 7 years
Annual CTC: Rupees 3,00,000 to 4,00,000




